US12373978B2 - Intraoral image processing apparatus, and intraoral image processing method - Google Patents

Intraoral image processing apparatus, and intraoral image processing method

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US12373978B2
US12373978B2 US17/726,798 US202217726798A US12373978B2 US 12373978 B2 US12373978 B2 US 12373978B2 US 202217726798 A US202217726798 A US 202217726798A US 12373978 B2 US12373978 B2 US 12373978B2
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oral cavity
roughness
points
image processing
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US20220343528A1 (en
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Ho Taik LEE
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Medit Corp
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Medit Corp
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    • G06T7/64Analysis of geometric attributes of convexity or concavity
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    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61CDENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C9/00Impression cups, i.e. impression trays; Impression methods
    • A61C9/004Means or methods for taking digitized impressions
    • A61C9/0046Data acquisition means or methods
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/51Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for dentistry
    • A61B6/512Intraoral means
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    • A61B1/00Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
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    • A61B5/0059Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0082Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
    • A61B5/0088Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for oral or dental tissue
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient; User input means
    • A61B5/742Details of notification to user or communication with user or patient; User input means using visual displays
    • A61B5/7445Display arrangements, e.g. multiple display units
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T1/0007Image acquisition
    • GPHYSICS
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/24Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the mouth, i.e. stomatoscopes, e.g. with tongue depressors; Instruments for opening or keeping open the mouth
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10068Endoscopic image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
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    • GPHYSICS
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    • G06T2207/30004Biomedical image processing
    • G06T2207/30036Dental; Teeth

Definitions

  • a method of obtaining an image of an oral cavity of a patient by inserting an intraoral scanner into the oral cavity has been used as a method of obtaining oral cavity information of the patient.
  • an intraoral scanner By scanning the patient's oral cavity by using an intraoral scanner, three-dimensional data about an object such as the patient's tooth, gum, jawbone, and the like may be obtained, and the obtained three-dimensional data is used for treatment, correction, or the like of a tooth.
  • an intraoral image processing method includes obtaining a three-dimensional oral cavity model of an oral cavity, obtaining curvature information of the three-dimensional oral cavity model, obtaining roughness information of the three-dimensional oral cavity model, based on the curvature information, obtaining a color of the three-dimensional oral cavity model, based on the roughness information, and displaying the three-dimensional oral cavity model, based on the obtained color.
  • the obtaining of the curvature information of the three-dimensional oral cavity model may include obtaining curvature values of points included in the three-dimensional oral cavity model, and the obtaining of the roughness information of the three-dimensional oral cavity model, based on the curvature information may include obtaining roughness values of the pointes, based on the curvature values of the points.
  • the obtaining of the roughness values of the points may include determining a roughness value of a first point, based on a curvature value of at least one second point adjacent to the first point among the points.
  • the obtaining of the roughness values of the points may include determining a roughness value of a first point, based on a value of a difference between a curvature value of at least one second point adjacent to the first point among the points and a curvature value of the first point.
  • the obtaining of the roughness values of the points may include calculating a value of a difference between a curvature value of each of second points located within a preset first distance from a first point among the points and a curvature value of the first point, determining a weight of the difference value, based on a distance between the first point and each of the second points, and determining a roughness value of the first point, based on the difference values and the weights with respect to the second points.
  • the determining of the roughness value of the first point may include calculating an average value of the difference values, based on the weights, and determining the calculated average value as a roughness value of the first point.
  • the obtaining of the roughness values of the points may further include determining roughness values of points included in an edge region of a tooth or a teethridge region to be preset values.
  • the obtaining of the roughness value of the first point may include determining whether the first point is included in an edge region of a tooth or a teethridge region, based on a distance between a tangent line of the first point and each of a third point farthest from the first point in a first direction and a fourth point farthest from the first point in a second direction among points located within a preset second distance from the first point, and when the first point is included in the edge region of the tooth or the teethridge region, determining the roughness value of the first point to be a preset value.
  • the obtaining of the color of the three-dimensional oral cavity model may include determining a color of a point according to the roughness value of each of the points, and determining a color of a mesh constituted by the points, by mixing colors of the points.
  • FIG. 2 illustrates an intraoral image processing system according to an embodiment
  • FIG. 3 illustrates a three-dimensional oral cavity model according to an embodiment
  • FIG. 6 is a reference view showing a method of obtaining roughness information of a three-dimensional oral cavity model, performed by an intraoral image processing apparatus according to an embodiment
  • FIG. 9 illustrates an example in which an intraoral image processing apparatus according to an embodiment displays roughness information of a three-dimensional oral cavity model
  • FIG. 10 is a flowchart showing an intraoral image processing method according to an embodiment.
  • FIG. 11 is a block diagram of an intraoral image processing apparatus according to an embodiment.
  • an image may include an image (hereinafter, referred to as “intraoral image”) representing at least one tooth or oral cavity including at least one tooth.
  • an image may be a two-dimensional image of an object or a three-dimensional model or three-dimensional image that represents an object in three-dimensions.
  • an image may mean data needed to express an object in two-dimensions or three-dimensions, for example, raw data and the like obtained from at least one image sensor.
  • raw data is data obtained to generate an intraoral image, that is, data, for example, two-dimensional data, obtained by at least one image sensor included in an intraoral scanner when a patient's oral cavity that is an object is scanned by using an intraoral scanner.
  • the raw data may be data obtained from at least one image sensor included in a table scanner when a plaster model and the like is scanned by using the table scanner.
  • the raw data may be CAD data that is previously stored in an intraoral image processing apparatus.
  • the disclosure is not limited thereto.
  • an “object” may include a tooth, gingiva, at least a partial region of an oral cavity, and/or an artificial structure that can be inserted into the oral cavity (for example, an orthodontic device, a prosthesis, an implant, an artificial tooth, an orthodontic auxiliary tool inserted into the oral cavity, etc.), a plaster model, an impression model, and the like.
  • the orthodontic device may include at least one of a bracket, an attachment, an orthodontic screw, a lingual orthodontic device, and a removable retainer.
  • FIG. 1 is a reference view showing a prep operation according to an embodiment.
  • the tooth 10 serving as a support for the prosthesis 20 is cut in the form of an abutment.
  • a work of cutting and trimming the tooth 10 in the form of an abutment is referred to as a prep operation
  • a tooth cut in the form of an abutment is referred to as a prep tooth.
  • the intraoral image processing apparatus may provide roughness information about a three-dimensional oral cavity model for precise performance of a prep operation.
  • a method of providing roughness information about a three-dimensional oral cavity model, which is performed by the intraoral image processing apparatus according to an embodiment is described with reference to the accompanying drawings.
  • an intraoral image processing system may include an intraoral scanner 1000 and an intraoral image processing apparatus 100 .
  • the intraoral scanner 1000 is a medical apparatus for obtaining an image in an oral cavity.
  • the intraoral scanner 1000 may be an apparatus for obtaining an image of an oral cavity including at least one tooth by being inserted into the oral cavity to scan a tooth in a non-contact manner.
  • the intraoral scanner 1000 may have a shape to be capable of being drawn in and out of an oral cavity, and scan the inside of a patient's oral cavity by using at least one image sensor, for example, an optical camera and the like.
  • the intraoral scanner 1000 may obtain surface information about an object, as raw data, for imaging of at least one surface of a tooth, a gingiva, and an artificial structure to be inserted in the oral cavity, for example, an orthodontic device including a bracket, a wire, and the like, an implant, an artificial tooth, an orthodontic auxiliary tool inserted in an oral cavity, and the like, in a target oral cavity.
  • Image data obtained by the intraoral scanner 1000 may be transmitted to the intraoral image processing apparatus 100 that is connected through a wired or wireless communication network.
  • the intraoral image processing apparatus 100 may include a display 130 .
  • the intraoral image processing apparatus 100 may include electronic apparatuses that are connected to the intraoral scanner 1000 via a wired or wireless communication network and are capable of receiving, from the intraoral scanner 1000 , a two-dimensional image obtained by scanning an oral cavity, and generating, processing, displaying, and/or transmitting an intraoral image, based on the received two-dimensional image.
  • the intraoral image processing apparatus 100 may include computing devices such as smart phones, laptop computers, desktop computers, PDAs, tablet PCs, and the like, but the disclosure is not limited thereto.
  • the intraoral scanner 1000 may transmit raw data obtained through oral cavity scanning, as it is, to the intraoral image processing apparatus 100 .
  • the intraoral image processing apparatus 100 may generate a three-dimensional model (three-dimensional intraoral image) that represents an oral cavity three dimensionally, based on the received raw data.
  • the intraoral image processing apparatus 100 may generate three-dimensional data, for example, surface data, representing the shape of a surface of an object in three-dimensions, based on the received raw data.
  • three-dimensional surface data may be in the form of point data or mesh data.
  • mesh data is a combination of a plurality of polygons (faces), and a polygon means a polygon formed by a plurality of vertices.
  • a polygon may be polygonal such as triangular, rectangular, and the like, and according to the shape of a polygon, mesh data may be represented as a triangular mesh, a rectangular mesh, or a polygonal mesh.
  • a “three-dimensional oral cavity model” may be generated by three-dimensionally modeling an inner structure of an oral cavity, based on the received raw data, the three-dimensional oral cavity model may be referred to as a “three-dimensional intraoral image.”
  • a model or image that represents an oral cavity two-dimensionally or three-dimensionally is collectively referred to as an “intraoral image.”
  • the intraoral image processing apparatus 100 may analyze, process, display, and/or externally transmit the generated intraoral image.
  • the intraoral scanner 1000 may obtain raw data through the oral cavity scanning, and generate an image corresponding to a target oral cavity by processing the obtained raw data. Furthermore, the generated image may be transmitted to the intraoral image processing apparatus 100 . In this case, the intraoral image processing apparatus 100 may analyze, process, display, and/or transmit the received image.
  • the intraoral image processing apparatus 100 is an electronic apparatus capable of generating and displaying an intraoral image that three-dimensionally represents an oral cavity including one or more teeth, which is described below in detail.
  • FIG. 3 illustrates a three-dimensional oral cavity model according to an embodiment.
  • the intraoral image processing apparatus 100 may obtain three-dimensional intraoral data. For example, by scanning at least one tooth by using the intraoral scanner 1000 described in FIG. 1 , intraoral data indicating surface information of an oral cavity may be obtained.
  • the intraoral data may include point data or mesh data.
  • the intraoral data may include position information of a point, the normal vector of a point, the tangent vector of a point, the normal vector of a mesh, position information of a mesh, and the like, but the disclosure is not limited thereto.
  • the intraoral image processing apparatus 100 may generate a three-dimensional oral cavity model 310 , based on the intraoral data.
  • the three-dimensional oral cavity model 310 may include a plurality of points, and triangular meshes constituted by the points.
  • the disclosure is not limited thereto, and the three-dimensional oral cavity model may constituted by other polygonal meshes such as rectangles and the like.
  • the intraoral image processing apparatus 100 may determine the curvature value of a point such that the magnitude of a curvature value increases as a difference between the normal vectors of adjacent meshes increases, and the magnitude of a curvature value decreases as the difference between the normal vectors of meshes decreases.
  • the intraoral image processing apparatus 100 may display a curvature mode menu 510 for displaying curvature information of a three-dimensional oral cavity model on a user interface screen.
  • the intraoral image processing apparatus 100 may display curvature information 520 of the three-dimensional oral cavity model in colors.
  • the intraoral image processing apparatus 100 may determine color of each point, based on a curvature value of each of points included in the three-dimensional oral cavity model. In this state, the intraoral image processing apparatus 100 may map each point with a color corresponding to the curvature value of each point, by using a color bar that represents the correspondence between a color and a curvature value.
  • the intraoral image processing apparatus 100 may calculate an average value by applying a weight to each of the calculated difference values.
  • a weight applied to each of the difference values may be determined inversely proportional to a distance between points.
  • the intraoral image processing apparatus 100 may determine a weight to a difference between the curvature value of a point to calculate a roughness value and the curvature of a point close to the point, to be great, and a weight to a difference between the curvature value of the point to calculate the roughness value and the curvature of a point far from the point, to be less.
  • the intraoral image processing apparatus 100 may determine a roughness value of each of the points included in a three-dimensional oral cavity model by the method described above.
  • FIG. 7 is a reference view showing a method of determining a roughness color, performed by an intraoral image processing apparatus according to an embodiment.
  • the intraoral image processing apparatus 100 may determine roughness color of each point, based on the roughness value of each of the points included in a three-dimensional oral cavity model.
  • the intraoral image processing apparatus 100 may map a color corresponding to the roughness value of each point with each point by using a color bar 700 .
  • the intraoral image processing apparatus 100 may determine a first color 710 corresponding to 5.73 in the color bar 700 as the roughness color of the first point P 1 .
  • a second color 730 corresponding to 0.412 in the color bar 700 may be determined as the roughness color of the second point P 2 .
  • a third color 720 corresponding to 0.418 in the color bar 700 as the roughness color of the third point P 3 .
  • the color bar 700 may be set to map a higher roughness value with redder, and a lower roughness value with greener, but the disclosure is not limited thereto. Furthermore, the intraoral image processing apparatus 100 may change the color mapped in the color bar 700 and a range of a roughness value mapped with a certain color. For example, the intraoral image processing apparatus 100 may change the range of a roughness value mapped with a fourth color 760 , for example, green, in the color bar 700 , based on a user input to vertically move a user input or a triangular icon 750 that directly inputs a first numerical value 740 .
  • a fourth color 760 for example, green
  • the intraoral image processing apparatus 100 may determine whether the fourth point P 4 is a point located in a teethridge region or an edge region.
  • the intraoral image processing apparatus 100 may detect two reference points located at the outermost side among the points located within a preset radius R 2 with respect to the fourth point P 4 .
  • the intraoral image processing apparatus 100 may detect the first point P 1 and the sixth point P 6 as reference points.

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  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
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